Best Researcher Award
PING HUANG – Peking University
The Best Researcher Award profile recognizes PING HUANG in the context of research data analysis, urban mobility, residential relocation, and transportation-related behavioral research. The documented publication examines affordable housing transitions and residents’ activity-travel behavior in Shenzhen using longitudinal mobile phone data, providing an empirical basis for understanding data-driven urban research and mobility outcomes.[1]
Abstract
PING HUANG’s documented research profile concerns quantitative research involving urban mobility, residential relocation, and activity-travel behavior. The documented study investigates affordable housing transitions in Shenzhen using longitudinal mobile phone data. The research illustrates how large-scale behavioral datasets can be analyzed to understand changes in commuting and non-commuting activity patterns associated with residential relocation and housing policy.[1]
Keywords
PING HUANG, Best Researcher Award, Carbon Emissions, Research Data Analysis, Urban Mobility, Affordable Housing, Activity-Travel Behavior, Longitudinal Mobile Phone Data, Residential Relocation, Transportation Research, Shenzhen, Quantitative Analysis, Mobility Patterns, Urban Policy, Data-Driven Research.
Introduction
Urban housing transitions can influence commuting, daily activity patterns, and transportation behavior. Longitudinal mobile phone datasets provide opportunities to examine these relationships across extended periods and large populations. Huang’s documented research contributes to this area by examining affordable housing relocation in Shenzhen and assessing associated activity-travel changes through large-scale observational data and quantitative research methods.[2]
Research Profile
PING HUANG is affiliated with Peking University in China and has the supplied Scopus Author ID 60636878100. The provided profile records two documents, two citations, and an h-index of one. The documented publication demonstrates research involvement in longitudinal mobile phone data, urban mobility analysis, residential relocation, and quantitative investigation of activity-travel behavior.[1]
Research Contributions
The documented contribution focuses on examining behavioral changes associated with affordable housing relocation. The study compares residents transitioning to affordable housing with residents relocating to nearby market housing from comparable origins. Longitudinal mobile phone observations and fixed-effects regression provide a quantitative framework for examining commuting and home-based non-commuting activity-travel behavior after residential relocation.[3]
Publications
The documented publication is Effects of affordable housing transition on residents’ activity-travel behavior in Shenzhen: Evidence from longitudinal mobile phone data. The study examines a six-year longitudinal mobile phone dataset involving more than one million relocated residents and evaluates behavioral differences associated with affordable-housing and market-housing relocation. The publication provides the principal documented research evidence for this profile.[1]
Research Impact
The supplied profile records two citations and an h-index of one. These indicators provide an early quantitative description of indexed scholarly activity and should be interpreted in relation to publication age and disciplinary context. The documented study contributes empirical evidence relevant to affordable housing, residential mobility, transportation behavior, accessibility, and urban policy research.[1]
The research is also relevant to carbon-emissions research through its examination of commuting and travel behavior, although the documented publication does not itself establish a direct carbon-emissions measurement. Changes in travel distance, duration, and frequency can provide useful behavioral evidence for subsequent research investigating transportation demand and environmental implications of residential relocation
Award Suitability
The Best Researcher Award profile is supported by Huang’s documented involvement in large-scale empirical research using longitudinal data and quantitative methods. The publication demonstrates participation in research involving data curation, software, visualization, formal analysis, and scholarly writing. These elements provide relevant evidence of engagement with research data analysis and evidence-based urban mobility research.[1]
Conclusion
PING HUANG’s supplied profile presents a Peking University researcher with documented involvement in data-intensive urban mobility research. The 2026 publication demonstrates the use of longitudinal mobile phone data and quantitative analysis to examine affordable-housing relocation and activity-travel behavior in Shenzhen. The documented work provides a relevant foundation for consideration in research data analysis recognition.[2]
External Links
References
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- Effects of affordable housing transition on residents’ activity-travel behavior in Shenzhen: Evidence from longitudinal mobile phone data,
https://www.sciencedirect.com/science/article/abs/pii/S0966692326001572
- Scopus Profile Huang Ping Author.
https://www.scopus.com/authid/detail.uri?authorId=60636878100
- International Research Data Analysis Excellence & Awards
https://researchdataanalysis.com/